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Researcher
Martina Vandebroek
- Disciplines:Statistics, Analysis of collective decision-making
Affiliations
- Operations Research and Statistics Research Group (ORSTAT) (main work address Leuven) (Research unit)
Member
From1 Nov 2005 → Today
Projects
1 - 10 of 15
- Development, Validation, and Valorization of a Patient Preference Platform to Inform Healthcare Decision-MakingFrom1 Mar 2023 → TodayFunding: IOF - technology validation in lab
- Topics in Discrete Choice ModelingFrom21 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Heterogeneity in Discrete Choice Models: Theory Driven and Machine Learning TechniquesFrom4 Oct 2019 → 4 Oct 2023Funding: BOF - doctoral mandates
- Topics in discrete choice experiments: Screening, framing, and sample size selectionFrom26 Oct 2018 → 22 Nov 2023Funding: BOF - Doctoral projects
- PhD Researcher in the field of DISCRETE CHOICE EXPERIMENTSFrom5 Oct 2017 → 17 May 2023Funding: BOF - Doctoral projects
- Discrete choice models including screening rules: modeling and design.From1 Oct 2017 → 30 Sep 2021Funding: BOF - Concerted Research Project from 1994
- Modeling the impact of labels, the dynamics in attribute non-attendance and the dropout in discrete choice experiments.From26 Sep 2017 → 19 May 2021Funding: BOF - doctoral mandates, BOF - Doctoral projects
- Empirical and methodological challenges in choice experimentsFrom1 Jan 2017 → 31 Dec 2023Funding: FWO scientific research network
- Efficient Online Choice Experiments: incorporating screening rules in the selection of sequential choice sets.From1 Jan 2017 → 31 Dec 2020Funding: FWO research project (including WEAVE projects)
- Discrete choice experiments: design software and two-stage choice modelsFrom22 Sep 2015 → 27 Aug 2021Funding: BOF - doctoral mandates, National Bank of Belgium, BOF - Doctoral projects
Publications
1 - 10 of 68
- Sample size selection for discrete choice experiments using design features(2023)
Authors: Samson Yaekob Assele, Michel Meulders, Martina Vandebroek
- Topics in discrete choice experiments: Screening, framing, and sample size selection(2023)
Authors: Samson Yaekob Assele, Martina Vandebroek, Michel Meulders
- The Effect of Information Provision and Color Coding in Product Labeling on the Preference for Meat Substitutes(2023)
Authors: Samson Yaekob Assele, Michel Meulders, Martina Vandebroek
- Modelling preference heterogeneity using model-based decision trees.(2023)
Authors: Alvaro Gutierrez Vargas, Michel Meulders, Martina Vandebroek
- The state of the art of discrete choice experiments in food research(2022)
Authors: Sandra Rousseau, Michel Meulders, Guido Pepermans, Martina Vandebroek
- The value of consideration data in a discrete choice experiment(2022)
Authors: Samson Yaekob Assele, Michel Meulders, Martina Vandebroek
- What matters most to patients with multiple myeloma? A Pan-European patient preference study(2022)
Authors: Rosanne Janssens, Elise Schoefs, Michel Delforge, Martina Vandebroek, Steven Simoens, Isabelle Huys
- Modelling consideration heterogeneity in a two-stage conjunctive model(2022)
Authors: Frits Traets, Michel Meulders, Martina Vandebroek
- randregret: A command for fitting random regret minimization models using Stata(2021)
Authors: Alvaro Gutierrez Vargas, Martina Vandebroek, Michel Meulders
Pages: 626 - 658 - Joint analysis of preferences and drop out data in discrete choice(2021)
Authors: Leonard Maaya, Michel Meulders, Martina Vandebroek